Alternatives and similar repositories for CW_Attack_on_MNIST

Users that are interested in CW_Attack_on_MNIST are comparing it to the libraries listed below

• Harry24k / CW-pytorch
  A pytorch implementation of "Towards Evaluating the Robustness of Neural Networks"
  ☆58Updated 6 years ago
• FenHua / Adversarial-Examples
  AdvAttacks; adversarial examples; FGSM;JSMA;CW;single pixel attack; local search attack;deepfool
  ☆58Updated 6 years ago
• mathcbc / advGAN_pytorch
  a Pytorch implementation of the paper "Generating Adversarial Examples with Adversarial Networks" (advGAN).
  ☆276Updated 5 years ago
• GiorgosKarantonis / Adversarial-Attacks-with-Relativistic-AdvGAN
  Using relativism to improve GAN-based Adversarial Attacks. 🦾
  ☆44Updated 2 years ago
• aldahdooh / detectors_review
  ☆53Updated 4 years ago
• as791 / Adversarial-Example-Attack-and-Defense
  This repository contains the implementation of three adversarial example attack methods FGSM, IFGSM, MI-FGSM and one Distillation as defe…
  ☆138Updated 5 years ago
• bboylyg / NAD
  This is an implementation demo of the ICLR 2021 paper [Neural Attention Distillation: Erasing Backdoor Triggers from Deep Neural Networks…
  ☆128Updated 4 years ago
• JHL-HUST / SI-NI-FGSM
  ☆71Updated 4 years ago
• qilong-zhang / Pytorch_Universal-adversarial-perturbation
  A PyTorch implementation of universal adversarial perturbation (UAP) which is more easy to understand and implement.
  ☆53Updated 3 years ago
• UMBCvision / Hidden-Trigger-Backdoor-Attacks
  Official Repository for the AAAI-20 paper "Hidden Trigger Backdoor Attacks"
  ☆133Updated 2 years ago
• kchare / advex_notbugs_features
  Final Project for AM 207, Fall 2021. Review & experimentation with paper "Adversarial Examples Are Not Bugs, They Are Features"
  ☆10Updated 4 years ago
• hcguoO0 / FIA
  code for "Feature Importance-aware Transferable Adversarial Attacks"
  ☆87Updated 3 years ago
• TiJoy / Towards-Transferable-Targeted-Attack
  Codes for CVPR2020 paper "Towards Transferable Targeted Attack".
  ☆15Updated 3 years ago
• huitailangyz / MGAA
  The code of ICCV2021 paper "Meta Gradient Adversarial Attack"
  ☆26Updated 4 years ago
• jiaxiaojunQAQ / LAS-AT
  Code for LAS-AT: Adversarial Training with Learnable Attack Strategy (CVPR2022)
  ☆118Updated 3 years ago
• hanwei0912 / Adversarial-Reading
  Paper sharing in adversary related works
  ☆45Updated 5 months ago
• Harry24k / PGD-pytorch
  A pytorch implementation of "Towards Deep Learning Models Resistant to Adversarial Attacks"
  ☆159Updated 6 years ago
• yuezunli / ISSBA
  Invisible Backdoor Attack with Sample-Specific Triggers
  ☆105Updated 3 years ago
• cake-lab / datafree-model-extraction
  CVPR 2021 Official repository for the Data-Free Model Extraction paper. https://arxiv.org/abs/2011.14779
  ☆75Updated last year
• Harry24k / FGSM-pytorch
  A pytorch implementation of "Explaining and harnessing adversarial examples"
  ☆70Updated 6 years ago
• ctargon / AdvGAN-tf
  Tensorflow implementation of Generating Adversarial Examples with Adversarial Networks
  ☆43Updated 7 years ago
• RjDuan / AdvCam-Hide-Adv-with-Natural-Styles
  Code for "Adversarial Camouflage: Hiding Physical World Attacks with Natural Styles" (CVPR 2020)
  ☆93Updated 2 years ago
• jpzhang1810 / NAA
  Official Tensorflow implementation for "Improving Adversarial Transferability via Neuron Attribution-based Attacks" (CVPR 2022)
  ☆35Updated 2 years ago
• AdelaideAuto-IDLab / Februus
  Input Purification Defense Against Trojan Attacks on Deep Neural Network Systems
  ☆28Updated 4 years ago
• VinAIResearch / input-aware-backdoor-attack-release
  Input-aware Dynamic Backdoor Attack (NeurIPS 2020)
  ☆37Updated last year
• sanjaykariyappa / MAZE
  Implementation of the paper "MAZE: Data-Free Model Stealing Attack Using Zeroth-Order Gradient Estimation".
  ☆31Updated 4 years ago
• ndb796 / Pytorch-Adversarial-Training-CIFAR
  This repository provides simple PyTorch implementations for adversarial training methods on CIFAR-10.
  ☆173Updated 4 years ago
• kangliucn / Fine-pruning-defense
  Fine-Pruning: Defending Against Backdooring Attacks on Deep Neural Networks (RAID 2018)
  ☆47Updated 7 years ago
• MadryLab / label-consistent-backdoor-code
  Code for "Label-Consistent Backdoor Attacks"
  ☆57Updated 5 years ago
• ZhengyuZhao / Targeted-Transfer
  Simple yet effective targeted transferable attack (NeurIPS 2021)
  ☆51Updated 3 years ago